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Easy Computation of Functional Diversity Indices
Computes six functional diversity indices. These are namely,
Functional Divergence (FDiv), Function Evenness (FEve), Functional Richness
(FRic), Functional Richness intersections (FRic_intersect), Functional
Dispersion (FDis), and Rao's entropy (Q) (reviewed in Villéger et al. 2008
Dynamic Path Analysis of Survival Data via Aalen's Additive Hazards Model
Dynamic path analysis with estimation of the corresponding direct, indirect, and total effects, based on Fosen et al., (2006)
Fitting Distributions to Given Data or Known Quantiles
Collection of functions for fitting distributions to given data or by known quantiles. Two main functions fit.perc() and fit.cont() provide users a GUI that allows to choose a most appropriate distribution without any knowledge of the R syntax. Note, this package is a part of the 'rrisk' project.
Simulation Classes Based on Package 'distr'
S4-classes for setting up a coherent framework for simulation within the distr family of packages.
Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R'
Dieses R-Paket stellt Zusatzmaterial in Form von Daten, Funktionen und R-Hilfe-Seiten für den Herausgeberband Breit, S. und Schreiner, C. (Hrsg.). (2016). "Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandardüberprüfung." Wien: facultas. (ISBN: 978-3-7089-1343-8, < https://www.iqs.gv.at/themen/bildungsforschung/publikationen/veroeffentlichte-publikationen>) zur Verfügung.
Tools to Analyse RFLP Data
Provides functions to analyse DNA fragment samples (i.e. derived from RFLP-analysis) and standalone BLAST report files (i.e. DNA sequence analysis).
Fit and Deploy DECORATE Trees
DECORATE (Diverse Ensemble Creation by Oppositional Relabeling
of Artificial Training Examples) builds an ensemble of J48 trees by recursively
adding artificial samples of the training data ("Melville, P., & Mooney, R. J. (2005)
Quantile-Quantile Plot with Several Gaussian Simulations
Plots a QQ-Norm Plot with several Gaussian simulations.
Infrastructure for Data Stream Mining
A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017)
Create Waffle Chart Visualizations
Square pie charts (a.k.a. waffle charts) can be used to communicate parts of a whole for categorical quantities. To emulate the percentage view of a pie chart, a 10x10 grid should be used with each square representing 1% of the total. Modern uses of waffle charts do not necessarily adhere to this rule and can be created with a grid of any rectangular shape. Best practices suggest keeping the number of categories small, just as should be done when creating pie charts. Tools are provided to create waffle charts as well as stitch them together, and to use glyphs for making isotype pictograms.